Nead, K.T.* ; Li, A.* ; Wehner, M.R.* ; Neupane, B.* ; Gustafsson, S.* ; Butterworth, A.S.* ; Engert, J.C.* ; Davis, A.D.* ; Hegele, R.A.* ; Miller, R.* ; den Hoed, M.* ; Khaw, K.T.* ; Kilpeläinen, T.O.* ; Wareham, N.J.* ; Edwards, T.L.* ; Hallmans, G.* ; Varga, T.V.* ; Kardia, S.L.* ; Smith, J.A.* ; Zhao, W.* ; Faul, J.D.* ; Weir, D.R.* ; Mi, J.* ; Xi, B.* ; Quinteros, S.C.* ; Cooper, C.* ; Sayer, A.A.* ; Jameson, K.* ; Grøntved, A.* ; Fornage, M.* ; Sidney, S.* ; Hanis, C.L.* ; Highland, H.M.* ; Häring, H.-U. ; Heni, M.* ; Lasky-Su, J.* ; Weiss, S.T.* ; Gerhard, G.S.* ; Still, C.* ; Melka, M.M.* ; Pausova, Z.* ; Paus, T.* ; Grant, S.F.A.* ; Hakonarson, H.* ; Price, R.A.* ; Wang, K.* ; Scherag, A.* ; Hebebrand, J.* ; Hinney, A.* ; BIoBank Japan (Meyre, D.*) ; GIANT Consortium (Albrecht, E. ; Gieger, C. ; Grallert, H. ; Heid, I.M. ; Illig, T. ; Müller-Nurasyid, M. ; Peters, A. ; Thorand, B. ; Wichmann, H.-E.) ; Franks, P.W.* ; Frayling, T.M.* ; McCarthy, M.I.* ; Hirschhorn, J.N.* ; Loos, R.J.* ; Ingelsson, E.* ; Gerstein, H.C.* ; Yusuf, S.* ; Beyene, J.* ; Anand, S.S.*
     
    
        
Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: A systematic review and meta-analysis with evidence from up to 331 175 individuals.
    
    
        
    
    
        
        Hum. Mol. Genet. 24, 3582-3594 (2015)
    
    
    
      
      
	
	    Polymorphisms rs6232 and rs6234/rs6235 in PCSK1 have been associated with extreme obesity [e.g. body mass index (BMI) ≥ 40 kg/m(2)], but their contribution to common obesity (BMI ≥ 30 kg/m(2)) and BMI variation in a multi-ethnic context is unclear. To fill this gap, we collected phenotypic and genetic data in up to 331 175 individuals from diverse ethnic groups. This process involved a systematic review of the literature in PubMed, Web of Science, Embase and the NIH GWAS catalog complemented by data extraction from pre-existing GWAS or custom-arrays in consortia and single studies. We employed recently developed global meta-analytic random-effects methods to calculate summary odds ratios (OR) and 95% confidence intervals (CIs) or beta estimates and standard errors (SE) for the obesity status and BMI analyses, respectively. Significant associations were found with binary obesity status for rs6232 (OR = 1.15, 95% CI 1.06-1.24, P = 6.08 × 10(-6)) and rs6234/rs6235 (OR = 1.07, 95% CI 1.04-1.10, P = 3.00 × 10(-7)). Similarly, significant associations were found with continuous BMI for rs6232 (β = 0.03, 95% CI 0.00-0.07; P = 0.047) and rs6234/rs6235 (β = 0.02, 95% CI 0.00-0.03; P = 5.57 × 10(-4)). Ethnicity, age and study ascertainment significantly modulated the association of PCSK1 polymorphisms with obesity. In summary, we demonstrate evidence that common gene variation in PCSK1 contributes to BMI variation and susceptibility to common obesity in the largest known meta-analysis published to date in genetic epidemiology.
	
	
	    
	
       
      
	
	    
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        Publication type
        Article: Journal article
    
 
    
        Document type
        Review
    
 
    
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        Keywords
        Genome-wide Association; Early-onset Obesity; Cardiovascular-disease; Genetic Association; Chinese Population; Identifies Common; Health-assessment; Extreme Obesity; Adult Obesity; Confer Risk
    
 
    
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        Language
        english
    
 
    
        Publication Year
        2015
    
 
    
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        HGF-reported in Year
        2015
    
 
    
    
        ISSN (print) / ISBN
        0964-6906
    
 
    
        e-ISSN
        1460-2083
    
 
    
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	    Volume: 24,  
	    Issue: 12,  
	    Pages: 3582-3594 
	    Article Number: ,  
	    Supplement: ,  
	
    
 
    
        
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            Publisher
            Oxford University Press
        
 
        
            Publishing Place
            Oxford
        
 
	
        
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        Reviewing status
        Peer reviewed
    
 
     
    
        POF-Topic(s)
        30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
    
 
    
        Research field(s)
        Genetics and Epidemiology
    
 
    
        PSP Element(s)
        G-504091-004
G-504091-002
G-504100-001
G-504000-002
G-504000-007
    
 
    
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        Erfassungsdatum
        2015-04-15